基于K-means算法的图书书目推荐系统设计与实现  

Design and Implementation of Book Catalog Recommendation System Based on K-means Algorithm

作　　者：吴俊绒[1] Wu Junrong(Shaanxi Technical College of Finance and Economics,Xianyang 712000,China)

机构地区：[1]陕西财经职业技术学院,陕西咸阳712000

出　　处：《黑龙江科学》2023年第9期124-125,128,共3页Heilongjiang Science

摘　　要：图书馆的读者群较为广泛,数量众多,不同读者对图书馆的使用需求、阅读书目的品类等不尽相同,设计图书书目推荐系统,可以根据数据信息为读者提供有针对性的图书推荐服务。利用K-means算法对图书馆图书书目推荐系统各项功能模块进行设计,并对设计结果进行有效测试。测试结果显示,基于K-means算法的图书书目推荐系统能有效缩短读者检索目标图书的时间,使其享受到图书书目推荐系统带来的个性化服务,从而为读者提供更多的阅读选择。The library has a wide range and a large number of readers.Different readers have different needs for the use of the library and different categories of reading books.In the design of the bibliography recommendation system,we can provide readers with targeted book recommendation services according to the data information.The study designs the functional modules of the library bibliography recommendation system by using K-means clustering algorithm,and tests the design results effectively.The test results show that the design of bibliographic recommendation system based on K-means algorithm can effectively shorten the time of readers’searching target books.Readers can enjoy the personalized service brought by the bibliography recommendation system,so as to provide readers with more reading choices.

关 键 词：图书馆 图书书目推荐系统 读者需求 阅读兴趣 

分 类 号：TN80[电子电信—信息与通信工程]